summarizes anticipated contributions from extending TRMM up to the fuel point when a controlled reentry is still possible. The right-hand column summarizes the anticipated additional contributions of extending TRMM beyond the fuel point (i.e., supplementing what is gained up to the fuel point). In addition, the expected contributions are separated into anticipated research and operations contributions. The elaborations in this chapter, working from the specific to the general, mirror the outline of Table 4-1.

ANTICIPATED CONTRIBUTIONS WHEN CONTROLLED REENTRY IS STILL POSSIBLE

Anticipated Operational Contributions

Another Year of PR and TMI Data for Tropical Storm Monitoring and Forecasting

Another year’s worth of TMI and PR data would be valuable to the National Oceanic and Atmospheric Administration (NOAA) and recipients of its forecasts for the same reasons expressed by Vice Admiral Lautenbacher to Dr. Sean O’Keefe in 2004 (see Appendix H). Similarly, Department of Defense agencies, other agencies around the world (refer to Chapter 3), and their users will continue to benefit from the data.

TABLE 4-1 Anticipated Operational and Research Contributions due to Extending TRMM to the Fuel Point (approximately December 2005) and Beyond

Anticipated Contributions of TRMM Up to the Fuel Point (when controlled reentry is still possible)

Additional Anticipated Contributions of TRMM Beyond the Fuel Point (i.e., in addition to what is gained up to the fuel point)

OPERATIONS

  • Another year of TMI and PR data for tropical storm monitoring and forecasting**

  • Another year of TMI data for numerical weather prediction**

  • Another year of PR and TMI data for enhancing near-real-time rainfall products**

  • Another year of lightning data for air traffic advisories*

  • Realizing the potential to use PR as a global rainfall reference standard*

OPERATIONS

  • Technology demonstration of the endurance of the first precipitation radar inspace*

  • Improved forecasts from the operational assimilation of PR and TMI data into weather and climate prediction models**



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